cfbaec60c77448e6249f912d4b4d4a8c079f2bcf,keras/engine/topology.py,Merge,get_output_shape_for,#Merge#Any#,1306

Before Change

            shape1 = list(input_shapes[0])
            shape2 = list(input_shapes[1])
            dot_axes = [a - 1 for a in self.dot_axes]
            tensordot_output = np.tensordot(np.zeros(tuple(shape1[1:])),
                                            np.zeros(tuple(shape2[1:])),
                                            axes=dot_axes)
            if len(tensordot_output.shape) == 0:
                shape = (1,)
            else:
                shape = tensordot_output.shape
            return (shape1[0],) + shape

    def compute_mask(self, inputs, mask=None):
        if mask is None or all([m is None for m in mask]):
            return None

After Change

            shape1 = list(input_shapes[0])
            shape2 = list(input_shapes[1])
            shape1.pop(self.dot_axes[0])
            shape2.pop(self.dot_axes[1])
            shape2.pop(0)
            output_shape = shape1 + shape2
            if len(output_shape) == 1:

Instances